Multinomial Latent Logistic Regression for Image Understanding

IEEE Transactions on Image Processing

Volumn 25, Issue 2, 2016, Pages 973-987

  Xu, Zhe ^a,b,c   Hong, Zhibin ^c   Zhang, Ya ^a,b   Wu, Junjie ^d   Tsoi, Ah Chung ^e   Tao, Dacheng ^c  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

^b Cooperative Medianet Innovation Center ^*  (China)

^c UNIVERSITY OF TECHNOLOGY SYDNEY   (Australia)

^d BEIHANG UNIVERSITY   (China)

^e MACAU UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Macao)

Author keywords

Latent Variable Model; Logistic Regression; Multi class Classification; Object Recognition

Indexed keywords

EQUIVALENCE CLASSES; IMAGE UNDERSTANDING; OBJECT RECOGNITION;

CLASSIFICATION TASKS; HIDDEN CONDITIONAL RANDOM FIELDS; LATENT VARIABLE MODELING; LOGISTIC REGRESSIONS; MULTI-CLASS CLASSIFICATION; PROBABILISTIC ANALYSIS; SECOND ORDER DERIVATIVES; STRUCTURED OUTPUT PREDICTION;

REGRESSION ANALYSIS;

EID: 84962677988     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2015.2509422     Document Type: Article

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